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BrainGazer - Visual Queries for Neurobiology Research
November/December 2009 (vol. 15 no. 6)
pp. 1497-1504
ASCII Text
x 
 
Stefan Bruckner, Veronika Šoltészová, Eduard Gröller, Jiří Hladůvka, Katja Bühler, Jai Y. Yu, Barry J. Dickson, "BrainGazer - Visual Queries for Neurobiology Research," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1497-1504, November/December, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2009.121,
author = {Stefan Bruckner and Veronika Šoltészová and Eduard Gröller and Jiří Hladůvka and Katja Bühler and Jai Y. Yu and Barry J. Dickson},
title = {BrainGazer - Visual Queries for Neurobiology Research},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {15},
number = {6},
issn = {1077-2626},
year = {2009},
pages = {1497-1504},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2009.121},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - BrainGazer - Visual Queries for Neurobiology Research
IS - 6
SN - 1077-2626
SP1497
EP1504
EPD - 1497-1504
A1 - Stefan Bruckner,
A1 - Veronika Šoltészová,
A1 - Eduard Gröller,
A1 - Jiří Hladůvka,
A1 - Katja Bühler,
A1 - Jai Y. Yu,
A1 - Barry J. Dickson,
PY - 2009
KW - biomedical visualization
KW - neurobiology
KW - visual queries
KW - volume visualization
VL - 15
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Stefan Bruckner, Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria
Veronika Šoltészová, Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria
Eduard Gröller, Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria
Jiří Hladůvka, VRVis Research Center, Vienna, Austria
Katja Bühler, VRVis Research Center, Vienna, Austria
Jai Y. Yu, Research Institute of Molecular Pathology, Vienna, Austria
Barry J. Dickson, Research Institute of Molecular Pathology, Vienna, Austria
Neurobiology investigates how anatomical and physiological relationships in the nervous system mediate behavior. Molecular genetic techniques, applied to species such as the common fruit fly Drosophila melanogaster, have proven to be an important tool in this research. Large databases of transgenic specimens are being built and need to be analyzed to establish models of neural information processing. In this paper we present an approach for the exploration and analysis of neural circuits based on such a database. We have designed and implemented \emph{BrainGazer}, a system which integrates visualization techniques for volume data acquired through confocal microscopy as well as annotated anatomical structures with an intuitive approach for accessing the available information. We focus on the ability to visually query the data based on semantic as well as spatial relationships. Additionally, we present visualization techniques for the concurrent depiction of neurobiological volume data and geometric objects which aim to reduce visual clutter. The described system is the result of an ongoing interdisciplinary collaboration between neurobiologists and visualization researchers.

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Index Terms:
biomedical visualization, neurobiology, visual queries, volume visualization
Citation:
Stefan Bruckner, Veronika Šoltészová, Eduard Gröller, Jiří Hladůvka, Katja Bühler, Jai Y. Yu, Barry J. Dickson, "BrainGazer - Visual Queries for Neurobiology Research," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1497-1504, Nov.-Dec. 2009, doi:10.1109/TVCG.2009.121
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